
Code: @MiniMax_Code MiniMax Design: @Hailuo_AI API: https://xitter.twitterapi.xyz/t.co/fHRdSV73Hr M Plan: https://xitter.twitterapi.xyz/t.co/XfJWSyauda
San Francisco
Joined January 2025
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- Following1K
- Followers131K
- Likes9.7K
MiniMax (official) retweeted
H3 Image by MiniMax is live in HyperFrames Studio
- 16 million pixel images
- under 10 seconds each
- precise prompt following and editing
- up to 16 reference images
use it for video assets, or generate a frame and bring it to life with an image-to-video model
MiniMax (official) retweeted
After experiencing immersive film firsthand in August, I became determined to bring this concept to life.
Powered by MiniMax H3’s sota open-weight capabilities, fal & SGLang’s inference optimizations, and Pickford’s Emmy-winning creative expertise, we’ve made something special happen: Live Film - where audiences can direct the story and shape how it unfolds in real time.
We’re kicking off our global screening tour, with SGLang Summit as the first stop🥰Come experience the future of AI-powered interactive content firsthand!
Stay tuned guys!!!🥃
Replying to @sgl_project
When the audience changes the story.
Leanna Ren (@MiniMax_AI), Kenneth Loebenberg (@fal), Bernie Su (Pickford) and Mick Qian (@radixark) show how H3, post-training and diffusion inference power a live interactive mystery.
If your creative work moves fast, these two will keep up with you ⚡ @MiniMax_AI H3 Image and H3 Image Highspeed are live on Picsart, with 4K generation and editing in around 10 seconds and native ~16 MP output at any aspect ratio 🖼️
They also handle the details that usually slow things down, from multi-reference editing to long prompts and dense text for posters, infographics and UI screens 📝 Gaming, 3D and e-commerce creators, this one’s especially for you 🎮
Try here 👉 tinyurl.com/ye28pmcu
MiniMax (official) retweeted
100 days ago, we open-sourced MiniMax H3.
Now 1,472 models are built on it, downloaded 148M+ times on @huggingface
Thank you, builders of the H3 universe:
@ComfyUI @haoailab @fal @PrunaAI @video_rebirth @UtopaiStudios @HeyGen @ViggleAI @pika_labs @huggingface @ModelScope2022 @NVIDIAAI
huggingface.co/MiniMaxAI/Min…
🤖 Made with AI
We're teaming up with @Runware, @MiniMax_AI, @ComfyUI and @ChromaAwards to give away $20K+ in cash and credits for the best videos made with HeyGen Video 1 through our MCP.
To enter, follow @HeyGenMCP and post your video with #HeyGenVideoContest.
Rules: heygen.com/blog/video-contes…
MiniMax (official) retweeted
⏳ 72 hours left for AI City Remix.
Miniature skylines. Pixel streets. Your city, your way.
Build with @MiniMax_AI M3.1 Flash on SandBase.
Free credits daily. A $3,000 grand prize in platform credits.
Put your city on our radar. 👇
Build with MiniMax M3.1 Flash for FREE. ⚡
You build. We cover the credits.
🌆 Remix any city, any way you imagine.
🏆 Compete for the $3,000 grand prize.
Powered by @MiniMax_AI × SandBase Lab.
Pick a city. Build your version. Make it yours.
MiniMax M3.1 Flash.
Now free on EvoX Agent.
Oct 28–30.
Experience what's possible. evomap.ai/evox/beta?utm_sour…
MiniMax M3.1 Flash: Space Performance + Bunny Speed
🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash.
💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed.
API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens.
Model weights will arrive on Oct 23.
API: platform.minimax.io
M Plan: minimax.io/m-plan
MiniMax Code for desktop: agent.minimax.io/download
MiniMax (official) retweeted
🚀MiniMax M3.1 Flash is now available on EvoLink
💻Great for software engineering, interactive creation and research
📺Check what @MiniMax_AI made to promote M3.1 Flash it self👇
MiniMax (official) retweeted
minimax m3.1 flash is now available for post-training on together ai
run sft or rl with your own data, rewards + environments, while keeping the training loop in your own python code
take m3.1 flash and shape it for the agentic workload you need
together.ai/post-training
MiniMax (official) retweeted
Build with MiniMax M3.1 Flash for FREE. ⚡
You build. We cover the credits.
🌆 Remix any city, any way you imagine.
🏆 Compete for the $3,000 grand prize.
Powered by @MiniMax_AI × SandBase Lab.
Pick a city. Build your version. Make it yours.
MiniMax M3.1 Flash (aka Space Bunny) from @MiniMax_AI is live on Modular Cloud, day zero.
M3.1 Flash is best in cowork automation among open models, with SOTA-level coding and engineering performance. It can ship a fix in a real codebase, then update Jira and Slack afterwards.
We worked with the MiniMax team ahead of launch, so M3.1 Flash is already serving production traffic on Modular Cloud. Evaluating it for your stack? Try it now: console.modular.com/signup?u…
The meter's off.
MiniMax M3.1 Flash is free on 0G Private Computer until Oct 24, 13:00 UTC.
No balance needed, just an API key.
Let your agent run with @MiniMax_AI
pc.0g.ai/models/minimax-m3.1…
Save your longest agent run for Wednesday.
MiniMax M3.1 Flash goes free on 0G Private Computer for 3 days, from Oct 21, 13:00 UTC.
No balance needed, just an API key. Point your Hermes Agent at it.
pc.0g.ai/models/minimax-m3.1…
MiniMax (official) retweeted
Congratulations to @MiniMax_AI on launching M3.1 Flash! 🎉 We're proud to be a launch partner from day one.
Faster, lighter, and built for volume. Whether you’re building, learning something new or just getting through the day, your Mind is a digital companion that grows with you and helps you unlock what you never thought was possible.
Try it out at hellominds.ai.
MiniMax M3.1 Flash: Space Performance + Bunny Speed
🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash.
💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed.
API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens.
Model weights will arrive on Oct 23.
API: platform.minimax.io
M Plan: minimax.io/m-plan
MiniMax Code for desktop: agent.minimax.io/download
MiniMax M3.1 Flash mogs Muse and DeepSeek for FREE 🔥
Try Space Bunny on aimlapi.com
MiniMax M3.1 Flash: Space Performance + Bunny Speed
🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash.
💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed.
API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens.
Model weights will arrive on Oct 23.
API: platform.minimax.io
M Plan: minimax.io/m-plan
MiniMax Code for desktop: agent.minimax.io/download
MiniMax (official) retweeted
MiniMax M3.1 Flash got 1.5x faster in Atomic Agent!
We ran a Halloween prompt that builds one continuous 3D scene. In Atomic Fusion a local Qwen 3.8 27B wrote the plan, MiniMax did the coding and it was done in 8 minutes!
Try Atomic Agent for FREE -> atomicagent.io
MiniMax M3.1 Flash: Space Performance + Bunny Speed
🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash.
💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed.
API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens.
Model weights will arrive on Oct 23.
API: platform.minimax.io
M Plan: minimax.io/m-plan
MiniMax Code for desktop: agent.minimax.io/download
MiniMax (official) retweeted
❤️open weights soon!
TL;DR:
- MiniMax M3.1 Flash is the anonymous "Space Bunny" model that was #1 on OpenCode for 12 days straight
- 1M context, with text, image and video input
- 1/3 the cost of M3 and 3x the speed
- $0.15 / $0.60 per 1M input/output tokens, cache reads $0.015
- Automation-Bench: 62.2%, ahead of Opus 5 (50.3%) and GPT-5.6 Sol (45.8%)
- DeepSWE: 73.7%, about tied with Opus 5 (74.0%) and behind DeepSeek V4.1 Flash (77.0%)
- ALE: 29.6% for about $111 total, close to Opus 5 (32.2%) and GPT-5.6 Sol (30.6%); Opus 5.5 scores higher (about 38%) but costs over $1,000
- BabyVision: 91.0%, just behind DeepSeek V4.1 Flash (92.5%)
- Open weights coming later, no date yet
MiniMax (official) retweeted
MiniMax M3.1 Flash vs Claude Opus 5.5 in cinematic absurdity.
Two takes on the impossible, made with Higgsfield.
MiniMax (official) retweeted
The 🐰 is out of the bag. It’s MiniMax M3.1 Flash from @MiniMax_AI, and it’s now on TokenRouter.
M3.1 Flash scores 73.7% on DeepSWE v1.1, so it can burrow into a real codebase and come back with working fixes. On AutomationBench-AA it reaches 62.2, a test of business workflows that jump across several SaaS tools before the job is done. Output costs $0.60 per million tokens, which is not many carrots for a model this fast on its feet.
Let it loose on TokenRouter: tokenrouter.com/models
This model is insane at design. And 88x cheaper than Claude Opus 5.5 on my test!
I asked M3.1 Flash (left) and Opus 5.5 (right) to build me a landing page for a hardware device launch.
MiniMax cost just $0.014 vs $1.22 for Opus, while being 4x faster and more token efficient.
MiniMax M3.1 Flash: Space Performance + Bunny Speed
🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash.
💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed.
API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens.
Model weights will arrive on Oct 23.
API: platform.minimax.io
M Plan: minimax.io/m-plan
MiniMax Code for desktop: agent.minimax.io/download



























